
The Delphi Podcast
Grass: Live Context Retrieval Powered By Millions of Nodes | Crypto x AI Event
Oct 22, 2024
Andrej Radonjic, Co-founder and CEO of Wynd Labs and core contributor to Grass Network, shares insights on revolutionizing AI with ethical data collection. He discusses the transforming power of real-time data access through a decentralized network of millions of nodes. The conversation highlights the importance of Live Context Retrieval for AI advancement, alongside the challenges of traditional data collection methods. Radonjic emphasizes how decentralization fosters fair data usage and community engagement, paving the way for the next generation of AI applications.
38:25
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Quick takeaways
- Grass Network promotes ethical data collection through decentralization, enabling users to contribute to and benefit from a fair data retrieval system.
- The importance of real-time data access for AI is highlighted as Grass shifts focus towards live context retrieval and efficient model optimization.
Deep dives
Data Ownership and Ethical Challenges
Retrieving quality data for AI models is a significant challenge, often leading companies to unethical practices. Many firms utilize unauthorized methods to scrape data from users' devices without compensation, relying on terms and conditions that are frequently ignored. This approach not only restricts access to knowledge but raises ethical concerns about data ownership. Grass aims to address this by allowing users to opt-in and contribute to a decentralized network, gaining network ownership while ensuring ethical data retrieval.
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